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AMCR’s Stefan Wild Named 2025 SIAM Fellow

Berkeley Lab Researchers Help Shape the Future of AI in Biological Research

A large group of people standing on a staircase inside a building, posing for a group photo. The setting includes indoor plants and modern architectural elements.

Berkeley Lab Joins Eight DOE Labs to Host 1,000-Scientist AI Jam

Three participants during the AI Jam event

Berkeley Lab Joins Forces with HPSF to Drive HPC Innovation

The Perlmutter supercomputer at NERSC, housed in a large facility with exposed ceiling pipes. Its cabinet panels feature a vibrant design with cosmic imagery, including orange and blue nebulae, a historical photo of physicist Saul Perlmutter with his research team, and an illustration of telescopes. The word 'Perlmutter' is prominently displayed across the panels.

2025 CSA Postdoc Symposium Spotlights Innovation from Early Career Researchers

A photo collage of three individuals speaking at an event. The left image features a man with shoulder-length dark hair, wearing a white patterned shirt and a lanyard, gesturing with his hands while speaking. The middle image shows a woman with long black hair, wearing a striped button-up shirt and a dark cardigan, speaking into a microphone while gesturing with her hands. The right image captures a woman with curly dark hair, wearing a black jacket with decorative buttons, looking off to the side while standing in front of a screen displaying text and graphics.

Berkeley Lab Staff Awarded for ECP Leadership

Group photo of ECP Leadership award recipients.

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

Animation showing molecules represented as color-coded dots. The image illustrates how EScAIP optimizes reaction paths involving complex structures with many atoms, highlighting the speed and low memory usage critical to its efficiency. This method is under development by Samuel Blau and colleagues using data from the Open Catalyst Project.

A Powerful Machine Learning Algorithm that Nudges Gold Atoms Closer Together

Visualization of ion collisions captured by BNL’s STAR detector. Multicolored lines trace particle tracks, created by quarks and gluons from the collision. GPTune-enhanced collisions produce more particles, offering scientists a deeper look into subatomic behavior. The image's radiant lines form a bullseye pattern against a black background, highlighting the intricate paths of the particles.

Video: Learn About the Computing Sciences Area’s Summer Program

John Bell, A Pioneering Mathematician Continues to Shape the Future

John Bell

New Computer Simulations Help Scientists Advance Energy-Efficient Microelectronics

AMCR’s Donatelli Receives 2024 Early Career Award

Jeffrey Donatelli, a staff scientist in the Applied Mathematics and Computational Research Division (AMCR)
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